Job Title: Visiting Faculty – Behavioural Economics and Decision Making Location: Pune (On-campus – Abasaheb Garware College)
Job Type: Visiting / Part-Time
Program: B.

Sc.

Data Science (Second Year – Undergraduate Students)
Course Duration: 30 Hours (Across One Semester)

About the Role
The School of Data Science & Business Intelligence (SDBI) is seeking a Visiting Faculty member to teach Behavioural Economics and Decision Making to second-year undergraduate students in the B.

Sc.

Data Science program.

The ideal faculty member should possess strong industry or research experience and be able to make behavioural concepts engaging through case studies, experiments, discussions, and practical applications relevant to modern organizations.

Key Responsibilities
Deliver 30 hours of engaging classroom instruction during the semester.

Explain fundamental concepts of behavioural economics and decision science using practical examples.

Conduct classroom activities, behavioural experiments, simulations, and case-based discussions.

Connect behavioural theories with real-world business, consumer, financial, and policy decisions.

Design assignments, quizzes, and group activities that promote analytical and critical thinking.

Encourage students to evaluate decision-making using evidence rather than intuition alone.

Support internal assessments and provide constructive academic feedback.

Coordinate with the academic team to ensure timely completion of the syllabus.

Topics to Be Covered
Foundations of Behavioural Economics
Introduction to behavioural economics
Rational choice versus bounded rationality
Decision-making under uncertainty
Heuristics and intuition
Cognitive Biases and Human Behaviour
Anchoring and framing effects
Loss aversion and prospect theory
Confirmation bias
Availability and representativeness heuristics
Overconfidence and optimism bias
Behavioural Decision Making
Risk perception and decision-making
Time preferences and present bias




Habit formation and self-control
Choice architecture and nudging
Applications of Behavioural Economics
Consumer behaviour and marketing decisions
Behavioural finance and investment decisions
Public policy and behavioural interventions
Organizational decision-making
Digital platforms and behavioural design
Contemporary case studies from business and government

Candidate Profile
Master's degree in Economics, Behavioural Economics, Psychology, Management, Public Policy, Business Analytics, or a related discipline.

Industry, consulting, research, or policy experience in behavioural science, consumer research, business strategy, marketing, finance, or related domains.

Strong understanding of behavioural economics principles and their practical applications.

Prior teaching, corporate training, mentoring, or workshop facilitation experience is preferred.

Excellent communication and presentation skills with the ability to simplify interdisciplinary concepts for undergraduate students.

Preferred Skills
Knowledge of behavioural economics frameworks and cognitive psychology.

Experience applying behavioural insights in business, marketing, finance, public policy, or product design.

Familiarity with behavioural experiments, case-based teaching, and interactive classroom methods.

Ability to facilitate discussions around ethical decision-making and human behaviour.

Solid analytical thinking and problem-solving orientation.

Teaching Commitment
Total Course Duration: 30 hours
Student Level: Second-Year Undergraduate (B.

Sc.

Data Science)
Mode: On-campus teaching at Abasaheb Garware College, Pune
Faculty will also be expected to: Prepare lesson plans and learning materials.

Design assignments and classroom activities.

Conduct internal assessments and evaluations.

Participate in academic coordination meetings as required.

How to Apply
Interested candidates may apply through Linked

In or send their updated resume, along with details of their teaching, training, and industry experience, to .

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